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Data Engineering Leader
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Data Engineering Leader
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Vancouver, British Columbia, Canada Amazon Data Services Canada, Inc. Full timeAbout the RoleWe are seeking a highly skilled Data Engineering Leader to join our team at Amazon Data Services Canada, Inc. As a key member of our team, you will be responsible for mentoring and leading engineers, guiding them towards best data development practices, and defining the priorities and vision of the group.You will collaborate with users around...
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Data Engineering Leader
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Vancouver, British Columbia, Canada Amazon Data Services Canada, Inc. Full timeAbout the RoleWe are seeking a highly skilled Data Engineering Leader to join our team at Amazon Data Services Canada, Inc. As a key member of our team, you will be responsible for mentoring and leading engineers, guiding them towards best data development practices, and defining the priorities and vision of the group.You will collaborate with users around...
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Data Engineering Leader
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Data Engineering Leader
1 month ago
Vancouver, British Columbia, Canada Amazon Data Services Canada, Inc. Full timeAbout the RoleWe are seeking a highly skilled Data Engineering Leader to join our team at Amazon Data Services Canada, Inc. As a key member of our team, you will be responsible for mentoring and leading engineers, guiding them towards best data development practices, and defining the priorities and vision of the group.Key ResponsibilitiesCollaborate with...
Data Engineering Lead
2 months ago
Vancouver Coastal Health is seeking a highly skilled Senior Data Developer to join our team. As a key member of our People Analytics team, you will be responsible for designing, deploying, and maintaining robust data solutions across both on-premises SQL and Azure cloud environments.
Key Responsibilities- Partner with data engineering and analytics teams to develop and optimize data models, pipelines, and business logic to address diverse business needs.
- Collaborate with technical teams to support a major data migration initiative to cloud solutions (MS Azure and Databricks).
- Design and implement scalable, reliable, and efficient data solutions that achieve specific business needs and initiatives.
- Consult on architectural specifications, ensuring feasibility, functionality, and integration with existing models.
- Provide data engineering services across all disciplines and stakeholders within an assigned portfolio.
- Perform functions such as coordinating and carrying out feasibility studies, conducting workload efficiency analysis using formal data gathering techniques, analyzing, designing, and implementing appropriate data solutions.
- Assist in the design and implementation of cloud solutions.
- Act as a leader in the team and the organization by providing technical leadership, guidance, and mentoring to junior data engineers, fostering a culture of learning, collaboration, and innovation within the team and the organization.
- Collaborate with Data Scientists, Analysts, and other stakeholders to understand data requirements, provide clean and reliable data, and support advanced analytics and machine learning initiatives.
- Implement data solutions/pipelines while applying data and cost optimization strategies by performing system and requirements analysis.
- Prepare detailed documentation and specifications for the implementation of data solutions/pipelines.
- Stay abreast of the latest trends, developments, and best practices in data engineering, big data technologies, cloud computing, and related domains, and apply innovative approaches to solve complex data engineering challenges.
- Bachelor's Degree in Computer Science, Information Systems Management, or a data-intensive related field.
- Five (5) years' experience as a Data Developer, two (2) of which will have been in a senior role or an equivalent combination of education, training, and experience.
- Data Engineering related certification from at least one cloud service provider is an asset (e.g., Microsoft Azure Data Engineer Associate).
- Proven ability to develop, deploy, and maintain complex multi-tiered data infrastructure, database, and data solutions with on-prem and cloud tools.
- Demonstrated hands-on experience optimizing data solutions and pipelines ensuring scalability, performance, and cost effectiveness are addressed.
- Strong proficiency developing in SQL languages such as T-SQL, PL/SQL, Databricks SQL.
- Demonstrated proficiency in the use of Python, Scala, and Spark with an ability to write efficient and scalable code for data processing/transformation tasks.
- Strong understanding of coding best practices and modern architectural patterns.
- Demonstrated strength in data modeling, ETL development, and data warehousing architecture with solid knowledge of various industry standards.
- Understanding of software data development, deployment, and release processes, and automated test frameworks especially within a DevOps practice and DevOps toolset.
- Strong analytical, prioritizing, interpersonal, problem-solving, presentation, budgeting, project management (from conception to completion), and planning skills.
- Develops and maintains strong relationships with key internal and external partners to promote and enhance services provided with sensitivity to diversity and indigenous lens.
- Practices the recognition, inclusion, and support of all types and aspects of diversity at all stages of engagement, with an understanding of the issues faced by people from equity-deserving groups.
- Demonstrated technical leader with skills in teaching, coaching, and mentoring others.
- Demonstrated attention to detail and maintenance of high quality standards.
